Optimal unit commitment with smart metering sensors on short-term ramp rate for independent power grid

Abstract

In this study, we considered the flexible dispatch of thermoelectric and hydroelectric units in a smart power grid that includes a considerable amount of wind and solar energy. The parameters required for the generators were analyzed using real-world information provided by power companies through smart power metering sensors. We designed and tested an improved priority method and a filtering-constraint implicit enumeration algorithm to solve a large-scale unit commitment problem by means of nonlinear mixed integer programming. The algorithm, which was developed using MATLAB, avoided falling into local or infeasible solutions. A simulation proved that the priority method and algorithm successfully controlled ramp rates and optimized electrical power delivered through the grid, the system was secure, and the economic costs were minimal.